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Ab initio calculations and high P-T experiments on iron, iron alloys and other materials (NERC Grant NE/M015181/1)

This collection includes the elastic calculations of the hcp-Fe-Si-S-C alloy system. NERC grant NE/M015181/1 - Pre melting in iron and iron alloys: ab initio calculations and high P-T experiments...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...

Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a...

RAPID Improving our Ability to Predict Rapid Changes in the El Nino Southern Oscillation Climatic Phenomenon: HADCM3 model output

"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...

RAPID Improving our Ability to Predict Rapid Changes in the El Nino Southern Oscillation Climatic Phenomenon: HADCM3 model output

"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...

2021 NatureScot predictive seaduck model within Special Protected Areas Moray Firth and Outer Firth of Forth and St Andrews Bay Complex

In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...

2021 NatureScot predictive seaduck model within Special Protected Areas Moray Firth and Outer Firth of Forth and St Andrews Bay Complex

In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...

Propagator - EPSRC project: Development of Unified Experimental and Theoretical Approach to Predict Reactive Transport in Subsurface Porous Media

EPSRC grant EP/L012227/1: Development of Unified Experimental and Theoretical Approach to Predict Reactive Transport in Subsurface Porous Media. The effect of pore-scale heterogeneity on non-Darcy...

Dyke-induced fault measurements and predicted dyke properties offshore NW Australia (NERC Grant NE/R014086/1)

Fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data. The seismic reflection data are located offshore NW Australia and image a series of Late Jurassic...

Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation...

Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation...

Porosity of core samples SSK111464 and SSK111465 calculated using SEM images and Fiji software (NERC grant NE/R018006/1)

Porosity of core samples SSK111464 (sandstone) and SSK111465 (shale) calculated using backscatter electron SEM images of carbon coated thin sections processed in ImageJ Fiji software. 85 images of...

Organic carbon burial calculation using sediment trap and sediment core records from Rostherne Mere, Cheshire, UK (1360-2016)

This dataset includes sediment trap, sediment core and loss-on-ignition to total organic carbon measurements from a PhD research project at Rostherne Mere in Cheshire. These data were collected to...

PalaeoQUMP (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...

PalaeoQUMP (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...

Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050

This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates...

Exponential parameters fitted to Delayed Flow Indices curves calculated for GB catchments, 1970-2015

This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment...

Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables

Abundance and species composition were determined for phytoplankton in 361 water samples collected at 12 sites: five transects from 488N to 508S in the Atlantic Ocean, the Benguela upwelling, the...

Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables

Abundance and species composition were determined for phytoplankton in 361 water samples collected at 12 sites: five transects from 488N to 508S in the Atlantic Ocean, the Benguela upwelling, the...